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Machine Learning Engineer Biotech Jobs in Modesto, CA

QA Engineer - AI Trainer

Tracy, CA ยท Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Senior Controls Engineer

Modesto, CA ยท On-site

$90K - $130K/yr

Control system validation experience of pharmaceutical/biotech systems a plus * Other PLC platform ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

Senior Controls Engineer

Modesto, CA ยท On-site

$90K - $130K/yr

Control system validation experience of pharmaceutical/biotech systems a plus * Other PLC platform ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

Control system validation experience of pharmaceutical/biotech systems a plus * Other PLC platform ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

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Machine Learning Engineer Biotech information

See Modesto, CA salary details

$33.2K

$135.9K

$204.1K

How much do machine learning engineer biotech jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer biotech in Modesto, CA is $135,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $163,500.00 per year, depending on experience, location, and employer.

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Modesto, CA? For Machine Learning Engineer Biotech jobs in Modesto, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Modesto, CA look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Modesto, CA are:
What cities near Modesto, CA are hiring for Machine Learning Engineer Biotech jobs? Cities near Modesto, CA with the most Machine Learning Engineer Biotech job openings:
QA Engineer - AI Trainer

QA Engineer - AI Trainer

DataAnnotation

Tracy, CA โ€ข Remote

$50 - $100/hr

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

About the job:

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for an existing Coder (this is an opportunity to work with us as an independent contractor) to help advance AI development. As a DataAnnotationโ€™s coder, youโ€™ll be part of a growing community of over 100,000 professionals โ€” including front-end, back-end, full-stack, machine learning, and other engineers โ€” who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: youโ€™ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, youโ€™ll receive an email confirmation, and paid work will become available to you through our platform.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at $50-100+/hr, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots coding challenges and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Experience with algorithms, data structures, and debugging workflows
  • A current, in progress, or completed Bachelor's is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.

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